Toggle Main Menu Toggle Search

Open Access padlockePrints

Patient Flow Scheduling and Capacity Planning in a Smart Hospital Environment

Lookup NU author(s): Dr Nigel Thomas


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Improving patient flow is a way to refine health services. An efficient patient flow can improve the quality of services and the utilization of resources. A smart environment could facilitate the experience of individuals within a physical space, such as a hospital. Meanwhile, a smart healthcare environment could improve patient flow through an efficient scheduling policy and the utilization of healthcare resources by an optimized capacity plan. This paper, first, explores a dynamic scheduling policy to improve the patient flow, and an efficient capacity scheme based on the varying patient flow. This scheduling policy and the capacity scheme can be built in a smart hospital environment through wireless sensor networks and smart healthcare systems. The research applies a formal modeling approach that can provide a quantitative analysis of systems. This approach, performance evaluation process algebra, can give strict definitions for the patient flow in order to model the dynamic scheduling policy and the capacity scheme; moreover, it provides a scalable performance analysis by the fluid flow approximation. Finally, this paper is concerned with how formal method might be used to model and analyze the scheduling policy and the capacity plan on improving the healthcare service before deployment.

Publication metadata

Author(s): Chen X, Wang LM, Ding J, Thomas N

Publication type: Article

Publication status: Published

Journal: IEEE Access

Year: 2016

Volume: 4

Pages: 135-148

Print publication date: 29/02/2016

Online publication date: 17/12/2015

Acceptance date: 09/12/2015

ISSN (electronic): 2169-3536

Publisher: IEEE


DOI: 10.1109/ACCESS.2015.2509013


Altmetrics provided by Altmetric


Funder referenceFunder name
61472343National Natural Science Foundation of China
61272074National Natural Science Foundation of China
U1405255National Natural Science Foundation of China